Parallelizing of digital signal processing with using GPU

In this paper we show the process of a class of algorithms parallelization which are used in digital signal processing. We present this approach on the instance of the popular LMS algorithm which is used in noise reduction, echo cancelation problems and digital signal processing in general. We propose an approach which uses a GPGPU technology. Parallel approach allows us decomposing the problem into a number of smaller ones, which can be computed faster. Obtained results, especially increase of speed and efficiency, show that the parallel method implemented on GPU is much more effective than other existing procedures and it can be used in the real-time systems.